icml-2020

There are 1 repository under icml-2020 topic.

ucbdrive / few-shot-object-detection
Implementations of few-shot object detection benchmarks
few-shot-object-detection few-shot-learning icml-2020
Language:Python 1058
tim-learn / SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
domain-adaptation transfer-learning icml-2020 source-hypothesis-transfer partial-set-domain-adaptation multi-source-domain-adaptation pseudo-labeling source-free-domain-adaptation
Language:Python 409
clovaai / generative-evaluation-prdc
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
deep-learning generative-adversarial-network evaluation-metrics precision recall machine-learning generative-model fidelity diversity evaluation icml icml-2020 icml2020
Language:Python 234
louisfb01 / Top-10-Computer-Vision-Papers-2020
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
artificial-intelligence computer-vision computer-graphics cv deep-learning deep-neural-networks paper papers eccv2020 eccv iccv neurips-2020 aaai2020 ieee iclr2020 icml-2020 nips-2020 research-paper research paper-references
189
clovaai / rebias
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
machine-learning deep-learning rebias bias-generalisation bias-generalization pytorch icml2020 icml-2020 icml
Language:Python 167
HanxunH / Active-Passive-Losses
[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
deep-learning deep-neural-networks icml icml-2020 label-noise noisy-data noisy-labels pytorch robust-learning unreliable-labels
Language:Python 126
BorgwardtLab / Set_Functions_for_Time_Series
Repository of the ICML 2020 paper "Set Functions for Time Series"
deep-learning icml-2020 set-functions time-series-analysis
Language:Python 114
RAIVNLab / STR
Soft Threshold Weight Reparameterization for Learnable Sparsity
sparsity learnable-sparsity sparsity-optimization cnn efficient-inference edge-machine-learning soft-thresholding str imagenet resource-efficient icml-2020 icml icml2020 soft-threshold-reparameterization
Language:Python 83
edouardelasalles / srvp
Official implementation of the paper Stochastic Latent Residual Video Prediction
deep-learning generative-model icml-2020 latent-variable-models pytorch stochastic vae video-prediction
Language:Python 77
princeton-vl / PackIt
Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
computer-vision open-ai-gym unity-ml-agents virtual-environments icml-2020
Language:Jupyter Notebook 48
srvCodes / continual-learning-benchmark
Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
lifelong-machine-learning continual-learning incremental-learning pytorch tsne icml-2020
Language:Python 45
yunyuntsai / Black-box-Adversarial-Reprogramming
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
icml-2020 black-box-optimization machine-learning limited-transfer-learning medical-imaging-classification robust-learning social-good
Language:Python 34
rlai-lab / Regularized-GradientTD
Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
learning-algorithm neural-network reinforcement-learning icml-2020
Language:Python 32
lioutasb / TaLKConvolutions
Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)
icml icml-2020 icml2020 talk-convolutions seq2seq
Language:Python 29
varun19299 / rigl-reproducibility
Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
machine-learning icml-2020 reproducibility-challenge
Language:Python 26
gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC
Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
icml-2020 sgmcmc
Language:Python 22
MLD3 / RL-Set-Valued-Policy
[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797
reinforcement-learning icml-2020 healthcare-application human-in-the-loop
Language:Jupyter Notebook 15
fairwashing / fairwashing
Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent
pytorch deep-learning machine-learning xai icml-2020 differential-geometry
Language:Python 12
lntk / uot
The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".
optimal-transport complexity-analysis unbalanced-optimal-transport robustness sinkhorn-algorithm icml-2020
Language:Jupyter Notebook 11
nthu-datalab / Runtime-Masking-and-Cleansing
Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
icml-2020 adversarial-defense adversarial-attacks adversarial-learning robust-learning neural-network convolutional-neural-networks security tensorflow2
Language:Jupyter Notebook 8
SewoongLab / RobustMetaLearningMLR
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
metalearning mixture-models robust-statistics neurips-2020 neurips2020 icml-2020 icml2020 icml neurips
Language:Python 8
gaosh / MBPG
PyTorch Implementation of Momentum-Based Policy Gradient Methods
icml-2020 policy-gradient reinforcement-learning-algorithms
Language:Python 6
alirezaomidi / cancerdag
Implementation of the paper "Learning Cancer Progression Network from Mutation Allele Frequencies", ICML Compbio 2020
machine-learning icml-2020 computational-biology cancer-genomics
Language:Jupyter Notebook 5
princeton-vl / PackIt_Extra
Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
computer-vision icml-2020 open-ai-gym unity-ml-agents virtual-environments
Language:C# 5
kaivalyar / RealWorldRecourse
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
bradley-terry-model counterfactuals explainable-ml icml-2020 recourse
Language:Jupyter Notebook 1
icml-2020-fault-tolerance / code
Code for the paper "The Probabilistic Fault Tolerance of Neural Networks in the Continuous Limit", ICML 2020
machine-learning neural-networks theory tensorflow keras python icml-2020
Language:Jupyter Notebook 0
icml-paper-2959 / bdlb
A Systematic Comparison of Robustness in Bayesian Deep Learning on Diabetic Retinopathy Diagnosis Tasks
bayesian-deep-learning icml-2020 diabetic-retinopathy
Language:Python 0

icml-2020

ucbdrive / few-shot-object-detection

tim-learn / SHOT

clovaai / generative-evaluation-prdc

louisfb01 / Top-10-Computer-Vision-Papers-2020

clovaai / rebias

HanxunH / Active-Passive-Losses

BorgwardtLab / Set_Functions_for_Time_Series

RAIVNLab / STR

edouardelasalles / srvp

princeton-vl / PackIt

srvCodes / continual-learning-benchmark

yunyuntsai / Black-box-Adversarial-Reprogramming

rlai-lab / Regularized-GradientTD

lioutasb / TaLKConvolutions

varun19299 / rigl-reproducibility

gaoliyao / Replica_Exchange_Stochastic_Gradient_MCMC

MLD3 / RL-Set-Valued-Policy

fairwashing / fairwashing

lntk / uot

nthu-datalab / Runtime-Masking-and-Cleansing

SewoongLab / RobustMetaLearningMLR

gaosh / MBPG

alirezaomidi / cancerdag

princeton-vl / PackIt_Extra

kaivalyar / RealWorldRecourse

icml-2020-fault-tolerance / code

icml-paper-2959 / bdlb